ML Infrastructure Operations Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Alten México

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

🚘 Automotive

💼 Consulting

Automotive • Consulting • Engineering

Alten México is a subsidiary of the ALTEN Group, a global leader in engineering and technology consulting. The company offers a wide range of services, including engineering and R&D, IT services, cybersecurity, and project management. With expertise in industries such as aeronautics, automotive, and life sciences, Alten México supports major clients in their innovation strategies. The company is committed to sustainable innovation, diversity, and corporate social responsibility, making it a leading player in outsourced engineering and IT services across various sectors.

📋 Description

• Configure and maintain ML environments using Kubernetes, Docker, and YAML-based configurations. • Execute, monitor, and validate distributed ML training workloads across multi-node accelerator clusters. • Review, modify, and execute Python and Bash scripts to automate workload execution and adjust runtime configurations. • Troubleshoot workload failures, collect logs, identify infrastructure or configuration issues, and document findings. • Track workload execution status, communicate test progress, and collaborate with engineering teams to improve reliability and operational efficiency.

🎯 Requirements

• 3+ years of experience in ML Operations, Software Testing, Systems QA, Linux Systems Administration, or a related technical role. • Strong proficiency with Linux command-line operations and shell environments. • Experience reading and modifying Python and Bash scripts. • Familiarity with Kubernetes, Docker, and containerized environments. • Experience executing and monitoring distributed workloads. • English: C1

🏖️ Benefits

• Sueldo base • Seguro de Gastos Médicos Mayores (incluye plan dental y visión) • 15 días de aguinaldo • 25% de prima vacacional • 12 días de vacaciones (A partir del primer año) • Seguro social • Vales de despensa quincenales